Update README.md

README.md

@@ -2,4 +2,51 @@
 language:
 - ar
 pipeline_tag: visual-question-answering
----
+---
+
+# Dallah: A Dialect-Aware Multimodal Large Language Model for Arabic
+
+Dallah is an advanced multimodal large language model (MLLM) tailored for the Arabic language, with a specific focus on understanding and generating content across various Arabic dialects. Built upon the **LLaVA** framework and powered by the **LLaMA-2** architecture, Dallah integrates both textual and visual data to facilitate comprehensive multimodal interactions.
+
+## Model Details
+
+- **Architecture**: LLaVA-based multimodal model with LLaMA-2 backbone.
+- **Languages Supported**: Modern Standard Arabic (MSA) and six major Arabic dialects.
+- **Modalities**: Text and image.
+
+## Training Data
+
+Dallah was fine-tuned on a diverse dataset encompassing both textual and visual information:
+- **Textual Data**: Includes MSA and six prominent Arabic dialects, ensuring the model's proficiency across different regional linguistic variations.
+- **Visual Data**: Comprised of image-text pairs, enabling the model to process and generate content that integrates both modalities.
+
+## Performance
+
+Dallah demonstrates state-of-the-art performance in Arabic MLLMs:
+- Excels in both MSA and dialectal Arabic benchmarks.
+- Effectively handles complex multimodal interactions involving textual and visual elements.
+
+## Applications
+
+Dallah’s multimodal and dialect-aware capabilities make it suitable for a range of applications, including:
+- **Multilingual Chatbots**: Enhancing user interactions by understanding and responding in specific Arabic dialects.
+- **Content Creation**: Assisting in generating culturally and linguistically appropriate content for diverse Arabic-speaking audiences.
+- **Educational Tools**: Supporting language learning by providing examples and explanations in various dialects.
+- **Cultural Preservation**: Documenting and promoting the use of different Arabic dialects on digital platforms.
+
+
+## Citation
+
+If you use Dallah in your research or applications, please cite the following paper:
+
+```bibtex
+@inproceedings{alwajih2024dallah,
+  title={Dallah: A Dialect-Aware Multimodal Large Language Model for Arabic},
+  author={Alwajih, Fakhraddin and Bhatia, Gagan and Abdul-Mageed, Muhammad},
+  booktitle={Proceedings of The Second Arabic Natural Language Processing Conference},
+  pages={320--336},
+  year={2024},
+  address={Bangkok, Thailand},
+  publisher={Association for Computational Linguistics},
+  url={https://aclanthology.org/2024.arabicnlp-1.27}
+}